posted by user: FSobieczky || 1842 views || tracked by 5 users: [display]

'XAI in Industry' - ISM 2020 : Explainable Artificial Intelligence in Industry - Open Track at International Conference of Smart Manufacturing

FacebookTwitterLinkedInGoogle

Link: http://www.msc-les.org/ism2020/about/#elementor-tab-title-1433
 
When Nov 23, 2020 - Nov 25, 2020
Where Austria
Submission Deadline Jul 31, 2020
Notification Due Jul 31, 2020
Final Version Due Sep 15, 2020
Categories    explainable ai   smart manufacturing   predictive maintenance
 

Call For Papers

Explainable Artificial Intelligence in Industry
Open Track - ISM International Conference of Smart Manufacturing
http://www.msc-les.org/ism2020/ - Contact: florian.sobieczky@scch.at

Explainable artificial has emerged as a key subject for all fields in which the value of accuracy of high performing predictive machine learning tools (such as deep learning) is compromised by a lack of the performance’s interpretability. While due to legal implications the hype of XAI has conquered mobile communication technology, medical research, and autonomous driving, it has now also reached operations research.
In manufacturing, there exists a very high demand for explanations of the machine learning predictions concerning waste, mal-performance of machinery, and need for maintenance, as they can be used in a more strategic way as opposed to only on the process control level. If the (human) operators are learning from the black box –instead of merely receiving corrections– they can remove the causes for the diagnosed errors. This means using artificial intelligence in an effective, sustainable way. The session ‘Explainable Artificial Intelligence in Industry’ focusses on insight into the methods and procedures illuminating the causes for Machine Learning algorithms’ decisions.
Scope:
1. XAI and interpretable machine learning models in manufacturing
2. Criteria for explainability (Interpretability, trustworthiness, transparency, faithfulness, stability, counter-factual)
3. Local surrogate models: Linearity, Fidelity, Stability
4. Model-agnosticity
5. Probabilistic Methods: Partial dependence plots, individual conditional expectation, accumulated local effects plots
6. Game Theoretic Methods: Shapley values
7. Robustness of Interpretability
8. Salience maps, interpretability in vision
9. Human in the loop, Interpretability and Usability

Related Resources

IJCAI 2022   31st International Joint Conference on Artificial Intelligence
AI-HCI 2022   AI-HCI: 3RD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HCI
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
Intelligence for Engineering 2022   ASME JCISE Special Issue on Machine Intelligence for Engineering under Uncertainties
WAISE 2021   4th International Workshop on Artificial Intelligence Safety Engineering
SIUSAI 2022   2022 International Symposium on Intelligent Unmanned Systems and Artificial Intelligence (SIUSAI 2022)
IEEE SEAI--EI Compendex, Scopus 2022   2022 2nd IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI 2022)--EI Compendex, Scopus
Computer SI on SE4RAI 2023   IEEE Computer - Special Issue on Software Engineering for Responsible AI
KSEM 2022   International Conference on Knowledge Science, Engineering and Management
SENSORS Special Issue 2022   'Next Generation of Secure and Resilient Healthcare Data Processing'